POSTER: Detecting Malicious Web Pages based on Structural Similarity of Redirection Chains. - Toshiki Shibahara; Takeshi Yagi; Mitsuaki Akiyama; Yuta Takata; Takeshi Yada (CCS, 2015)

DomainProfiler: Discovering Domain Names Abused in Future. - Daiki Chiba 001; Takeshi Yagi; Mitsuaki Akiyama; Toshiki Shibahara; Takeshi Yada; Tatsuya Mori; Shigeki Goto (DSN, 2016)

Efficient Dynamic Malware Analysis Based on Network Behavior Using Deep Learning. - Toshiki Shibahara; Takeshi Yagi; Mitsuaki Akiyama; Daiki Chiba 001; Takeshi Yada (GLOBECOM, 2016)

Detecting Malicious Websites by Integrating Malicious, Benign, and Compromised Redirection Subgraph Similarities. - Toshiki Shibahara; Yuta Takata; Mitsuaki Akiyama; Takeshi Yagi; Takeshi Yada (COMPSAC (1), 2017)

Malicious URL sequence detection using event de-noising convolutional neural network. - Toshiki Shibahara; Kohei Yamanishi; Yuta Takata; Daiki Chiba 001; Mitsuaki Akiyama; Takeshi Yagi; Yuichi Ohsita; Masayuki Murata 001 (ICC, 2017)

Understanding the origins of mobile app vulnerabilities: a large-scale measurement study of free and paid apps. - Takuya Watanabe 001; Mitsuaki Akiyama; Fumihiro Kanei; Eitaro Shioji; Yuta Takata; Bo Sun; Yuta Ishii; Toshiki Shibahara; Takeshi Yagi; Tatsuya Mori (MSR, 2017)

A Study on the Vulnerabilities of Mobiles Apps associated with Software Modules. - Takuya Watanabe 001; Mitsuaki Akiyama; Fumihiro Kanei; Eitaro Shioji; Yuta Takata; Bo Sun; Yuta Ishii; Toshiki Shibahara; Takeshi Yagi; Tatsuya Mori (CoRR, 2017)

Event De-Noising Convolutional Neural Network for Detecting Malicious URL Sequences from Proxy Logs. - Toshiki Shibahara; Kohei Yamanishi; Yuta Takata; Daiki Chiba 001; Taiga Hokaguchi; Mitsuaki Akiyama; Takeshi Yagi; Yuichi Ohsita; Masayuki Murata 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

DomainProfiler: toward accurate and early discovery of domain names abused in future. - Daiki Chiba 001; Takeshi Yagi; Mitsuaki Akiyama; Toshiki Shibahara; Tatsuya Mori; Shigeki Goto (Int. J. Inf. Sec., 2018)

Cross-Vendor Knowledge Transfer for Managed Security Services with Triplet Network. - Toshiki Shibahara; Hirokazu Kodera; Daiki Chiba 001; Mitsuaki Akiyama; Kunio Hato; Ola Söderström; Daniel Dalek; Masayuki Murata 001 (AISec@CCS, 2019)

Anomaly Detection for Mixed Transmission CAN Messages Using Quantized Intervals and Absolute Difference of Payloads. - Takuma Koyama; Toshiki Shibahara; Keita Hasegawa; Yasushi Okano; Masashi Tanaka; Yoshihito Oshima (AutoSec@CODASPY, 2019)

Graph Signal Processing for Directed Graphs Based on the Hermitian Laplacian. - Satoshi Furutani; Toshiki Shibahara; Mitsuaki Akiyama; Kunio Hato; Masaki Aida (ECML/PKDD (1), 2019)

Evasive Malicious Website Detection by Leveraging Redirection Subgraph Similarities. - Toshiki Shibahara; Yuta Takata; Mitsuaki Akiyama; Takeshi Yagi; Kunio Hato; Masayuki Murata 001 (IEICE Trans. Inf. Syst., 2019)

Efficient Dynamic Malware Analysis for Collecting HTTP Requests using Deep Learning. - Toshiki Shibahara; Takeshi Yagi; Mitsuaki Akiyama; Daiki Chiba 001; Kunio Hato (IEICE Trans. Inf. Syst., 2019)

Detecting Malware-infected Hosts Using Templates of Multiple HTTP Requests. - Taiga Hokaguchi; Yuichi Ohsita; Toshiki Shibahara; Daiki Chiba 001; Mitsuaki Akiyama; Masayuki Murata 001 (CCNC, 2020)

Sybil Detection as Graph Filtering. - Satoshi Furutani; Toshiki Shibahara; Kunio Hato; Mitsuaki Akiyama; Masaki Aida (GLOBECOM, 2020)

Timing Attack on Random Forests for Generating Adversarial Examples. - Yuichiro Dan; Toshiki Shibahara; Junko Takahashi (IWSEC, 2020)

Special-purpose Model Extraction Attacks: Stealing Coarse Model with Fewer Queries. - Rina Okada; Zen Ishikura; Toshiki Shibahara; Satoshi Hasegawa (TrustCom, 2020)

Study on the Vulnerabilities of Free and Paid Mobile Apps Associated with Software Library. - Takuya Watanabe 001; Mitsuaki Akiyama; Fumihiro Kanei; Eitaro Shioji; Yuta Takata; Bo Sun; Yuta Ishii; Toshiki Shibahara; Takeshi Yagi; Tatsuya Mori (IEICE Trans. Inf. Syst., 2020)

Understanding Update of Machine-Learning-Based Malware Detection by Clustering Changes in Feature Attributions. - Yun Fan; Toshiki Shibahara; Yuichi Ohsita; Daiki Chiba 001; Mitsuaki Akiyama; Masayuki Murata 001 (IWSEC, 2021)

MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI. - Takayuki Miura; Satoshi Hasegawa; Toshiki Shibahara (CoRR, 2021)

Timing Attack on Random Forests: Experimental Evaluation and Detailed Analysis. - Yuichiro Dan; Toshiki Shibahara; Junko Takahashi (J. Inf. Process., 2021)

Objection!: Identifying Misclassified Malicious Activities with XAI. - Koji Fujita; Toshiki Shibahara; Daiki Chiba 001; Mitsuaki Akiyama; Masato Uchida (ICC, 2022)

Competitive Information Spreading on Modular Networks. - Satoshi Furutani; Toshiki Shibahara; Mitsuaki Akiyama; Masaki Aida (NetSci-X, 2022)

Do Backdoors Assist Membership Inference Attacks? - Yumeki Goto; Nami Ashizawa; Toshiki Shibahara; Naoto Yanai (SecureComm (2), 2023)

Analysis of Homophily Effects on Information Diffusion on Social Networks. - Satoshi Furutani; Toshiki Shibahara; Mitsuaki Akiyama; Masaki Aida (IEEE Access, 2023)

On Rényi Differential Privacy in Statistics-based Synthetic Data Generation. - Takayuki Miura; Toshiki Shibahara; Masanobu Kii; Atsunori Ichikawa; Juko Yamamoto; Koji Chida (J. Inf. Process., 2023)

Interpreting Graph-Based Sybil Detection Methods as Low-Pass Filtering. - Satoshi Furutani; Toshiki Shibahara; Mitsuaki Akiyama; Masaki Aida (IEEE Trans. Inf. Forensics Secur., 2023)

Restoring Unintended Model Learning by Error Correcting Code. - Nami Ashizawa; Toshiki Shibahara; Naoto Kiribuchi; Osamu Saisho; Naoto Yanai (ACSAC Workshops, 2024)

Noisy Label Detection for Multi-labeled Malware. - Naoki Fukushi; Toshiki Shibahara; Hiroki Nakano; Takashi Koide; Daiki Chiba 001 (CCNC, 2024)

Efficiently Calculating Stronger Lower Bound for Differentially Private SGD in Black-Box Setting. - Toshiki Shibahara; Takayuki Miura; Masanobu Kii; Atsunori Ichikawa (COMPSAC, 2024)

Evaluation of Adversarial Examples Based on Original Definition. - Ko Fujimori; Toshiki Shibahara; Daiki Chiba 001; Mitsuaki Akiyama; Masato Uchida (HCI (62), 2024)

MEGEX: Data-Free Model Extraction Attack Against Gradient-Based Explainable AI. - Takayuki Miura; Toshiki Shibahara; Naoto Yanai (SecTL@AsiaCCS, 2024)

SETSUBUN: Revisiting Membership Inference Game for Evaluating Synthetic Data Generation. - Takayuki Miura; Masanobu Kii; Toshiki Shibahara; Kazuki Iwahana; Tetsuya Okuda; Atsunori Ichikawa; Naoto Yanai (J. Inf. Process., 2024)

CAPT-AI: Study on AI Model Identification Using Ability Differences. - Seiya Kajihara; Takumi Takaiwa; Tsubasa Shibata; Nami Ashizawa; Naoto Kiribuchi; Toshiki Shibahara; Osamu Saisho; Tetsushi Ohki; Masakatsu Nishigaki (HCI (63), 2025)

Suppressing the Endogenous Negative Influence Through Node Intervention in Social Networks. - Satoshi Furutani; Tatsuhiro Aoshima; Toshiki Shibahara; Mitsuaki Akiyama; Masaki Aida (IEEE Access, 2025)

Network Prebunking Problem: Optimizing Prebunking Targets to Suppress the Spread of Misinformation in Social Networks. - Satoshi Furutani; Toshiki Shibahara; Mitsuaki Akiyama; Masaki Aida (CoRR, 2025)